1 | /* |
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2 | Copyright 2009 by Marcin Szubert |
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3 | Licensed under the Academic Free License version 3.0 |
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4 | */ |
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5 | |
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6 | package cecj.archive; |
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7 | |
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8 | import java.util.List; |
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9 | |
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10 | import cecj.eval.ArchivingCoevolutionaryEvaluator; |
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11 | import cecj.interaction.LearnerTeacherInteractionScheme; |
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12 | import cecj.interaction.LearnerTeacherInteractionScheme.Role; |
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13 | import cecj.problems.TestBasedProblem; |
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14 | |
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15 | import ec.EvolutionState; |
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16 | import ec.Individual; |
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17 | import ec.util.Parameter; |
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18 | |
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19 | /** |
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20 | * Represents archive dedicated for learner-teacher coevolution, where two distinct roles can be |
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21 | * distinguished. The first one (leaner) represents candidate solution to the problem and it is |
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22 | * rewarded for performing well on tests which are representatives of the second role (teacher). |
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23 | * |
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24 | * It requires <code>LearnerTeacherInteractionScheme</code> and <code>TestBasedProblem</code> |
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25 | * definition. |
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26 | * |
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27 | * @author Marcin Szubert |
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28 | * |
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29 | */ |
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30 | public abstract class CandidateTestArchive extends CoevolutionaryArchive { |
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31 | |
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32 | /** |
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33 | * The interaction scheme between coevolving populations. |
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34 | */ |
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35 | protected LearnerTeacherInteractionScheme interactionScheme; |
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36 | |
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37 | /** |
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38 | * Problem which determines the interaction form between candidates and tests. |
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39 | */ |
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40 | protected TestBasedProblem problem; |
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41 | |
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42 | @Override |
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43 | public void setup(EvolutionState state, Parameter base) { |
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44 | super.setup(state, base); |
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45 | |
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46 | ArchivingCoevolutionaryEvaluator e = (ArchivingCoevolutionaryEvaluator) state.evaluator; |
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47 | if (!(e.getInteractionScheme() instanceof LearnerTeacherInteractionScheme)) { |
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48 | state.output |
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49 | .fatal("This archive can be used only with learner-teacher interaction scheme.\n"); |
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50 | } |
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51 | interactionScheme = (LearnerTeacherInteractionScheme) e.getInteractionScheme(); |
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52 | problem = e.getProblem(); |
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53 | } |
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54 | |
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55 | @Override |
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56 | public void submit(EvolutionState state) { |
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57 | List<Integer> candidatePops = interactionScheme.getSubpopulationIndices(Role.LEARNER); |
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58 | List<Integer> testPops = interactionScheme.getSubpopulationIndices(Role.TEACHER); |
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59 | for (int candidatePop : candidatePops) { |
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60 | List<Individual> cArchive = getArchive(state, candidatePop); |
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61 | List<Individual> candidates = getIndividuals(state, candidatePop); |
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62 | for (int testPop : testPops) { |
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63 | List<Individual> tArchive = getArchive(state, testPop); |
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64 | List<Individual> tests = getIndividuals(state, testPop); |
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65 | submit(state, candidates, cArchive, tests, tArchive); |
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66 | } |
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67 | } |
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68 | } |
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69 | |
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70 | /** |
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71 | * Submits new candidates and tests to the archives. The role of the archive is to determine |
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72 | * which individuals of both roles are useful and should be kept in the archive. It is possible |
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73 | * also to remove some existing individual because new one is strictly better. |
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74 | * |
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75 | * @param state |
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76 | * the current evolution state |
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77 | * @param candidates |
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78 | * the list of newly generated candidate solutions |
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79 | * @param cArchive |
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80 | * the list of archival candidate solutions |
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81 | * @param tests |
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82 | * the list of newly generated tests |
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83 | * @param tArchive |
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84 | * the list of archival tests |
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85 | */ |
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86 | protected abstract void submit(EvolutionState state, List<Individual> candidates, |
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87 | List<Individual> cArchive, List<Individual> tests, List<Individual> tArchive); |
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88 | } |
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